Staff Backend Software Engineer - AI Platform

At Sciforium, we are at the forefront of AI infrastructure, dedicated to the development of advanced multimodal AI models and an innovative serving platform that emphasizes high efficiency. With substantial funding and direct collaboration from AMD, our team is rapidly expanding to create the complete stack for pioneering AI models and dynamic real-time applications.Role OverviewThis position provides a distinct opportunity to engage with the fundamental systems that drive Sciforium's multimodal AI models. You will play a crucial role in constructing the model serving platform, working with C++, Python, runtime execution, and distributed infrastructure to design a swift, dependable engine for real-time AI applications.You will acquire practical experience in performance engineering, discover how large AI models are optimized and deployed at scale, and collaborate closely with ML researchers and seasoned systems engineers. If you thrive in low-level programming and are passionate about performance, this role offers both impactful contributions and significant growth opportunities.

About Us:At Parafin, our mission is to empower small businesses to thrive in today's competitive landscape. We understand that small businesses form the backbone of our economy, yet they often face challenges in accessing essential financial resources. Our innovative technology streamlines access to vital financial tools directly on the platforms they already utilize for sales. Partnering with industry leaders such as DoorDash, Amazon, Worldpay, and Mindbody, we provide small businesses with fast, flexible funding, efficient spend management, and effective savings solutions through simple integrations. Parafin manages the complexities of capital markets, underwriting, servicing, compliance, and customer support to ensure seamless experiences for our partners and their small business clients.We are composed of a dynamic team of innovators with backgrounds from top firms like Stripe, Square, Plaid, Coinbase, Robinhood, and CERN, all driven by a passion for developing tools that facilitate small business success. Backed by esteemed venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital, Parafin stands as a Series C company with over $194M raised in equity and $340M in debt facilities. Join us in shaping a future where every small business has access to the financial tools they need.About The PositionWe are on the lookout for a skilled Software Engineer to join our Infrastructure team and spearhead the advancement of our Machine Learning (ML) Platform. This pivotal role is essential for constructing reliable, scalable, and developer-centric systems for model experimentation, training, evaluation, inference, and retraining that drive underwriting and other ML-powered products for small businesses.As a Software Engineer, you will design, build, and maintain the core frameworks and platforms that empower data scientists to deploy high-quality models into production efficiently and safely. You'll work closely with Data Science and Platform Engineering, taking ownership of the ML platform from end-to-end, and develop both batch and real-time underwriting infrastructure.What You'll DoTransform notebooks into reliable software. Break down data scientist training and inference notebooks into reusable, well-tested components (libraries, pipelines, templates) with clear interfaces and documentation.Develop user-friendly ML abstractions. Create SDKs, CLIs, and templates that simplify the definition of features, model training and evaluation, and deployment to batch or real-time targets with minimal boilerplate.Construct our real-time ML inference platform. Establish and scale low-latency model serving capabilities.Enhance batch ML inference processes. Optimize scheduling, parallelism, cost controls, and observability to improve efficiencies.

OverviewPluralis Research is at the forefront of Protocol Learning, innovating a decentralized approach to train and deploy AI models that democratizes access beyond just well-funded corporations. By aggregating computational resources from diverse participants, we incentivize collaboration while safeguarding against centralized control of model weights, paving the way for a truly open and cooperative environment for advanced AI.We are seeking a talented Machine Learning Training Platform Engineer to design, develop, and scale the core infrastructure that powers our decentralized ML training platform. In this role, you will have ownership over essential systems including infrastructure orchestration, distributed computing, and service integration, facilitating ongoing experimentation and large-scale model training.ResponsibilitiesMulti-Cloud Infrastructure: Create resource management systems that provision and orchestrate computing resources across AWS, GCP, and Azure using infrastructure-as-code tools like Pulumi or Terraform. Manage dynamic scaling, state synchronization, and concurrent operations across hundreds of diverse nodes.Distributed Training Systems: Design fault-tolerant infrastructure for distributed machine learning, including GPU clusters, NVIDIA runtime, S3 checkpointing, large dataset management and streaming, health monitoring, and resilient retry strategies.Real-World Networking: Develop systems that simulate and manage real-world network conditions—such as bandwidth shaping, latency injection, and packet loss—while accommodating dynamic node churn and ensuring efficient data flow across workers with varying connectivity, as our training occurs on consumer nodes and non-co-located infrastructure.

Embrace the Future of Commerce with Whatnot!Whatnot stands as North America and Europe’s premier live shopping platform, dedicated to transforming the way you buy, sell, and discover your favorite items. We are on a mission to redefine e-commerce by seamlessly merging community engagement, shopping, and entertainment into a unique experience tailored just for you. As part of a remote, co-located team, we thrive on innovation while being firmly rooted in our core values. With operational hubs across the US, UK, Germany, Ireland, and Poland, we are collaboratively shaping the future of online marketplaces.Our live auctions span a diverse range of categories from fashion and beauty to electronics and collectibles, including trading cards, comic books, and even live plants. There’s truly something for everyone!And this is just the beginning! As one of the fastest-growing marketplaces, we are in search of bold, innovative problem solvers across all functional areas. Stay updated with the latest Whatnot news through our news and engineering blogs, and join us in empowering individuals to transform their passions into thriving businesses, fostering connections through commerce. Your RoleWe are seeking hands-on leaders—intellectually curious and technically proficient individuals ready to influence the future of AI and ML at Whatnot. In this pivotal role, you will spearhead the development and scaling of the foundational infrastructure that supports machine learning and self-hosted large language model applications across our organization. Collaborating closely with machine learning scientists, you will drive the implementation of innovative models powered by near-real-time features, enhancing product experiences. This entails building robust systems that ensure advanced ML is both reliable and efficient at scale—from low-latency deep learning model serving and streaming feature ingestion to distributed training and high-throughput GPU inference. As a managerial role, a strong technical foundation is essential, and potential candidates should be enthusiastic about diving deep into the details. You will elevate architectural discussions, provide insightful technical feedback, and dedicate at least one day a week to coding.Your Responsibilities:Lead the infrastructure supporting AI and ML models across critical business areas, enhancing growth, recommendations, trust and safety, fraud detection, seller tooling, and more.Oversee the prototyping, deployment, and productionization of innovative ML architectures, ensuring they align with our strategic objectives.

Tzafon is at the forefront of machine intelligence, specializing in the development of scalable compute systems. With offices located in San Francisco, Zurich, and Tel Aviv, we have successfully secured over $12 million in funding to push the boundaries of machine intelligence.Our dynamic team consists of engineers and scientists with profound expertise in machine learning infrastructure and research. Founded by experts with accolades such as IOI and IMO medals, PhDs, and backgrounds from top tech companies, we are dedicated to training models and constructing infrastructure that empowers swarms of agents to automate tasks in real-world scenarios.Your Responsibilities:Design, version, and manage core APIs within our systemsOrchestrate processes ensuring isolation, quotas, and safety measuresImplement approval mechanisms along with audit and replay functionalitiesEstablish observability through OpenTelemetry spans, logs, metrics, and replayable tracesEnhance reliability through SLOs, autoscaling, backpressure, and retry mechanisms

Join Databricks as a Staff Backend Software Engineer on our cutting-edge AI Platform team. We are on a mission to simplify data and AI for enterprises worldwide. In this role, you will be pivotal in developing robust backend systems that support our AI initiatives, driving innovation and efficiency.As a member of our dynamic team, you will work with the latest technologies and methodologies to create scalable solutions that meet the needs of our clients. Your expertise will help shape the future of our AI Platform, delivering exceptional user experiences and insights.

Join our innovative team at Databricks as a Staff Backend Software Engineer focusing on our cutting-edge AI Platform. In this pivotal role, you will be responsible for designing, developing, and optimizing backend systems that empower data scientists and engineers to build AI applications efficiently.As a key contributor, you will work closely with cross-functional teams to deliver scalable solutions that enhance our platform's capabilities. Your expertise will drive the development of robust features that support machine learning workflows and big data processing.

Join Databricks as a Staff Backend Software Engineer for our cutting-edge AI Platform. In this pivotal role, you will design and implement robust backend systems that power innovative AI solutions. Collaborate with a talented team to drive impactful projects and shape the future of data and AI.

Who Are We?Postman is the leading global API platform, utilized by over 45 million developers and 500,000 organizations, including 98% of the Fortune 500. We are dedicated to fostering an API-first world by simplifying every stage of the API lifecycle and enhancing collaboration, enabling users to build superior APIs more efficiently.Headquartered in San Francisco, Postman has offices in Boston, New York, Austin, Tokyo, London, and Bangalore—the birthplace of our company. We are a privately held organization, supported by investors like Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Discover more at postman.com or connect with us on X at @getpostman.P.S: We highly encourage you to read The "API-First World" graphic novel to gain insight into our vision at Postman.The OpportunityWe are seeking a talented Senior Backend Engineer to join our Cloud Platform team, where you will be instrumental in developing the core systems and services that drive Postman’s internal platform. You will design and implement new backend services responsible for deploying, scaling, and managing our infrastructure and product services, utilizing Java, Spring Boot, and Hibernate (JPA) alongside cloud-native technologies such as Kubernetes, ArgoCD, Istio, and Terraform.Your contributions will have a significant impact, as the systems you create will be employed across Postman engineering, enabling quicker delivery, improved scalability, and an enhanced developer experience. Additionally, you will have the chance to contribute to open-source projects, extending your influence beyond Postman’s ecosystem.What You’ll DoDesign and develop backend services in Java and Spring Boot to enhance Postman’s internal Cloud Platform.Architect new services for managing service deployment, lifecycle, and scaling across Kubernetes clusters.Implement GitOps workflows (ArgoCD) to facilitate continuous delivery.Integrate with cloud-native tools such as Istio, Helm, and Terraform.Adhere to robust software engineering practices, including testing, code reviews, CI/CD, and comprehensive documentation.Drive innovation by participating in open-source initiatives where applicable.Collaborate with Cloud Architects, DevOps engineers, and product teams to ensure alignment with business objectives.Ensure the performance, reliability, and scalability of the systems you develop.

Your Impact at Lila Lila Sciences is on the lookout for a dynamic and seasoned engineering leader to spearhead our product data platform team. You will take full ownership of the data platform and its underlying infrastructure — encompassing architecture, delivery, reliability, and the user experience for developers and data scientists. Our mission is to unleash Scientific Super Intelligence by providing a dependable, scalable, and self-service infrastructure for data ingestion, storage, processing, and interaction. This empowers AI/ML, product teams, and scientists to efficiently create data-driven applications with speed and confidence. Our platform is designed to handle analytical and machine learning workloads across Lila, facilitating autonomous DBTL cycles, instrument data pipelines, and AI inference workflows. As the Director, you will build and lead a team of skilled engineers, drive technical strategy, and ensure the scalability and performance of our data management and serving capabilities. You will collaborate closely with data scientists, data engineers, lab scientists, and product teams to gather insights into their needs and deliver innovative solutions that harness cutting-edge data processing technologies. What You'll Be Building Team Leadership: Develop, mentor, and oversee a high-performing team of 8-12 data engineering experts. Assess and implement modern data infrastructure - incorporating real-time streaming (Kafka, Flink), columnar engines (DuckDB, ClickHouse), lake house architecture, and cloud-native object storage. Cultivate a collaborative, innovative culture focused on continuous improvement. Provide technical mentorship to team members, supporting their professional development; conduct performance reviews, offer feedback, and identify training opportunities. Manage team workloads, prioritize projects, and ensure the timely delivery of high-quality solutions. Technical Strategy and Execution: Define and implement the technical roadmap for our data platform, aligning with Lila’s overarching data strategy. Foster innovation within the data Lakehouse and data serving ecosystem by exploring new technologies and methodologies to enhance usability, performance, scalability, and efficiency. Ensure the reliability, availability, and security of our data processing infrastructure. Collaborate with other engineering teams to integrate our data processing technologies with additional Lila systems and services. Stakeholder Management: Collaborate with data scientists, data engineers, lab scientists, product managers, and other stakeholders to understand their data processing needs and requirements. Effectively communicate technical concepts and solutions to both technical and non-technical audiences. Advocate for best practices in data processing and engineering.

About Pinterest:At Pinterest, our platform inspires millions of people around the globe to explore creative ideas, envision new possibilities, and create lasting memories. We are dedicated to providing the inspiration needed to build a fulfilling life, starting with the talented individuals who drive our product development.Join us in a career that sparks innovation for millions, transforms passion into opportunities for growth, and celebrates the diverse experiences of our team members, all while enjoying the flexibility to perform at your best. Building a career you love is within reach.Position Overview:We are looking for a Senior Engineering Manager to spearhead our AI/ML Serving Platform team, which develops the core tools and infrastructure utilized by numerous AI/ML engineers across Pinterest. This includes systems for recommendations, advertisements, visual search, notifications, and trust and safety. Our goal is to enhance the efficiency, quality, and speed of AI/ML systems, ensuring they are production-ready and reliable for iterative model development.Key Responsibilities:Lead the team in driving continuous improvements in advanced model architectures, optimizing resource usage, and boosting AI/ML developer productivity.Establish the technical vision for the team aligned with company and organizational priorities.Mentor and cultivate talent within the team.Qualifications:Proven experience in managing engineering teams with diverse cross-organizational clients.Expertise in developing large-scale distributed serving systems.Familiarity with AI/ML inference technologies (e.g., PyTorch, TensorFlow) for web-scale online serving.Bachelor's degree in Computer Science or a related field, or equivalent professional experience.

About Brain Co.At Brain Co., we are pioneering the infrastructure that transforms cutting-edge AI research into impactful real-world applications. We operate at the forefront of making AI viable in complex, high-stakes environments, especially within government and regulated sectors where manual processes are still prevalent.Our mission is to ensure that AI systems are reliable, scalable, and trustworthy in practical settings. This entails advancing beyond mere demonstrations and models to create robust platforms that facilitate intricate workflows, human-in-the-loop processes, and production-grade reliability at scale.About the RoleAs an AI Platform Backend Engineer, you will be responsible for developing and managing the core backend systems that drive Brain Co.’s AI platform. This is a strategic and high-impact role: your contributions will empower product teams, ML engineers, and customer implementations to operate more effectively and securely.You will design and oversee backend services that facilitate complex AI workflows (including multi-step reasoning, tool usage, and human-in-the-loop processes), emphasizing scalability, reliability, and user experience. Your journey will take systems from initial technical exploration to production deployment, often navigating ambiguous challenges where your insights will shape optimal solutions.This position provides considerable autonomy and the potential to evolve into broader technical and organizational leadership roles over time.

Join Pinterest:At Pinterest, we empower millions globally to discover creative ideas, envision new possibilities, and curate lasting memories. Our mission is to inspire everyone to create a life they love, driven by the talented individuals behind our innovative platform.Embark on a career where you can fuel innovation for millions, transform your passions into growth opportunities, value diverse experiences, and enjoy the flexibility to thrive. Building a career you love? It’s absolutely achievable!At Pinterest, AI is not just an enhancement; it’s a critical partner enhancing creativity and expanding our reach. We seek candidates eager to embrace this journey. Throughout our interview process, we prioritize your ability to articulate your thought processes, showcasing not only your knowledge but also your collaborative skills with AI. Discover more about our AI interview philosophy and its role in our recruitment process here.The Team:As a Technical Program Manager at Pinterest, you will take ownership with a proactive approach and technical acumen. The Platform Team oversees program governance in Infrastructure, Infra Finance, Data Engineering and Security, Compliance, and cloud budget management.Your Responsibilities:As a Staff Technical Program Manager with a focus on cross-engineering projects, you will lead strategic initiatives vital to enhancing Pinterest’s ML/AI Platform and foundational infrastructure.Lead Strategic ML/AI Platform Programs: Champion and execute high-impact, cross-engineering initiatives essential for advancing Pinterest's ML/AI Platform, GenAI infrastructure, and Agent Platform, ensuring outcomes from initial concept through measurable execution.AI-First Execution Mindset: Employ GenAI as the primary model for program execution, producing AI-assisted drafts of core program documents and modernizing high-effort workflows.

Be a Part of the Revolution in E-Commerce with Whatnot!Whatnot stands as the leading live shopping platform across North America and Europe, where you can buy, sell, and explore the items you cherish. We are transforming the landscape of e-commerce by merging community engagement, shopping, and entertainment into a unique experience tailored just for you. As a remote-first team, we are driven by innovation and firmly rooted in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we are collaboratively crafting the future of online marketplaces.From fashion and beauty to electronics and collectibles like trading cards, comic books, and live plants, our live auctions cater to a diverse audience.And this is just the beginning! As one of the fastest-growing marketplaces, we are on the lookout for innovative, forward-thinking problem solvers in all areas of our business. Stay updated with the latest from Whatnot through our news and engineering blogs, and join us in empowering individuals to transform their passions into successful ventures while fostering community through commerce. The RoleWe are seeking passionate builders—intellectually curious, entrepreneurial engineers who are ready to pioneer the future of AI and ML at Whatnot. You will be responsible for designing and scaling the foundational infrastructure that supports machine learning and self-hosted large language model applications throughout the organization. Collaborating closely with machine learning scientists, you will facilitate the deployment of cutting-edge models into production, creating entirely new product experiences. Your work will involve constructing systems that ensure advanced machine learning is reliable and efficient at scale—from low-latency model serving to distributed training and high-throughput GPU inference.Your Responsibilities:Lead the infrastructure that powers AI and ML models across vital business domains—enhancing growth, trust and safety, fraud detection, seller tools, and more.Prototype, deploy, and operationalize innovative ML architectures that significantly influence user experience and marketplace dynamics.Design and scale inference infrastructure capable of managing large models with minimal latency and maximal throughput.Construct distributed training and inference pipelines utilizing GPUs, as well as model and data parallelism.Push the boundaries of your expertise and explore new technologies and methodologies.

About FaireFaire is a transformative online wholesale marketplace, driven by the conviction that local businesses are the future. Independent retailers around the globe generate more revenue than massive corporations like Walmart and Amazon combined, yet individually, they remain small. At Faire, we harness technology, data, and machine learning to connect this vibrant community of entrepreneurs. Think of your favorite local boutique — we empower them to discover and sell the best products from around the world. With our innovative tools and insights, we aim to level the playing field, enabling small businesses to thrive against larger competitors.By championing the growth of independent businesses, Faire positively impacts local economies on a global scale. We’re in search of intelligent, resourceful, and passionate individuals to join us in fueling the shop local movement. If you value community, we invite you to be part of ours.About this RoleAs the Senior Staff Machine Learning Platform Engineer, you will spearhead the technical vision and evolution of Faire's ML platform. You will establish standards, influence organization-wide architecture, and lead intricate, cross-functional initiatives that enhance data science velocity at scale. This position is crucial for adapting ML workflows to leverage modern AI productivity tools. You will not only develop models but also design the systems that enable those models to empower tens of thousands of small retailers in competing and growing their local businesses.

About Hebbia Hebbia is an innovative AI platform designed for investors and bankers, focused on generating alpha and driving significant upside in financial markets. Established in 2020 by George Sivulka and supported by prominent investors such as Peter Thiel and Andreessen Horowitz, Hebbia empowers investment decisions for leading firms like BlackRock, KKR, Carlyle, and Centerview, among others, comprising over 40% of the world’s largest asset managers. Our flagship product, Matrix, is renowned for its industry-leading accuracy, speed, and transparency in AI-driven analysis, trusted to oversee more than $30 trillion in assets globally. We provide the intelligence that gives finance professionals a critical edge in their decision-making processes. Our advanced AI capabilities reveal hidden signals, uncover opportunities, and facilitate rapid decisions with unparalleled assurance. Rather than merely streamlining workflows, we fundamentally transform capital deployment, risk management, and value creation across markets. Hebbia is more than a tool; it is the competitive advantage that enhances performance, alpha, and market leadership. The Team The Growth and Data team at Hebbia serves as the powerhouse that supplies our AI platform with the essential data for reasoning and retrieval. We are tasked with sourcing, indexing, and enriching a vast array of content from diverse sources, including private enterprise data, public datasets, and third-party platforms, ensuring seamless delivery to enhance user workflows and agentic research. We develop robust integrations with platforms such as Snowflake, S3, SharePoint, and Dropbox, allowing organizations to securely unify their data ecosystems. From discovery and search processes to retrieval-augmented deep research within chat matrix frameworks, the data we provide is integral to powering every aspect of the AI platform. The Role As a Backend Software Engineer on Hebbia’s Growth and Data team, you will be responsible for designing and maintaining the robust backend systems that drive user engagement and contribute to Hebbia's ongoing growth. Your role involves architecting and implementing scalable solutions to enhance our platform's capabilities.

At Runway ML, we are revolutionizing the intersection of art and science through innovative AI technology. Our mission is to build sophisticated world models that transcend traditional artificial intelligence limitations. We believe that to tackle the most pressing challenges—such as robotics, disease, and scientific breakthroughs—we need systems that can learn from experiences just like humans do. By simulating these experiences, we can expedite progress in ways that were previously unimaginable.Our diverse and driven team consists of creative thinkers who are passionate about pushing boundaries and achieving the extraordinary. If you share this ambition and are eager to contribute to our groundbreaking work, we invite you to join us.About the Role*We are open to hiring remotely across North America. We also have offices in NYC, San Francisco, and Seattle.We are on the lookout for a highly skilled and intellectually inquisitive Technical Accounting Manager to be our go-to authority on intricate accounting issues. This position offers significant visibility and is ideal for a professional adept at interpreting complex accounting guidelines, formulating sound conclusions, and translating technical insights into practical accounting practices.

Join Our Team at Air AppsAt Air Apps, we are on a mission to revolutionize resource management through innovative technology. Founded in 2018 in Lisbon, Portugal, we have expanded our reach with offices in both Lisbon and San Francisco, boasting over 100 million downloads globally. Our vision is to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we are looking for passionate individuals to help us achieve this goal.Our commitment to challenging the status quo drives us to push the boundaries of AI-driven solutions that make a real impact. Here, you will have the opportunity to be a creative force, developing products that empower individuals worldwide.Join us as we embark on this journey to redefine how people plan, work, and live.

Join Convex in Revolutionizing Application Development!At Convex, we are on a mission to revolutionize the way developers build applications by enabling them to create fast, reliable, and dynamic apps without the need for a backend team. Our innovative full-stack app platform is meticulously crafted with database, compute, and backend abstractions, allowing developers and LLMs to rapidly innovate while ensuring scalability and simplicity throughout the product lifecycle.Meet Our Team:Our team comprises talented engineers who have built and designed some of the world’s most extensive backends, handling exabytes of data and millions of transactions per second, while also delivering desktop and mobile software across billions of devices. We pride ourselves on our friendly, collaborative, and passionate culture, thriving in our San Francisco office.The Opportunity:As a key player in our backend platform, you will enhance our standout client API and developer experience. We have dedicated significant resources to perfecting our client libraries, development APIs, and sync protocol, ensuring that Convex is a delight for application developers. We are looking to grow our team to advance the next iteration of the Convex API and redefine the modern application stack.If you are an experienced TypeScript developer with a passion for elegant API design and recognize the importance of robust platforms in the age of AI development, we want to hear from you!Your Responsibilities:Design, develop, and maintain Convex’s client libraries, sync protocol, and query APIs.Stay updated with new frameworks and technologies within the app development landscape.Gain insights into effective abstractions that scale and integrate seamlessly within our stack to create libraries that are user-friendly and maintainable.Work autonomously to prioritize impactful projects while collaborating closely with the engineering team and CTO (hi! I'm James).Contribute to establishing best practices and design guidelines as our team and systems expand.Write engaging and innovative client library code.